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/*  -- translated by f2c (version 19940927).
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   You must link the resulting object file with the libraries:
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	-lf2c -lm   (in that order)
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*/
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#include "f2c.h"
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/* Complex */ VOID clatm2_(complex * ret_val, integer *m, integer *n, integer 
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	*i, integer *j, integer *kl, integer *ku, integer *idist, integer *
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	iseed, complex *d, integer *igrade, complex *dl, complex *dr, integer 
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	*ipvtng, integer *iwork, real *sparse)
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{
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    /* System generated locals */
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    integer i__1, i__2;
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    complex q__1, q__2, q__3;
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    /* Builtin functions */
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    void c_div(complex *, complex *, complex *), r_cnjg(complex *, complex *);
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    /* Local variables */
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    static integer isub, jsub;
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    static complex ctemp;
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    extern /* Complex */ VOID clarnd_(complex *, integer *, integer *);
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    extern doublereal slaran_(integer *);
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/*  -- LAPACK auxiliary test routine (version 2.0) --   
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       Univ. of Tennessee, Univ. of California Berkeley, NAG Ltd.,   
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       Courant Institute, Argonne National Lab, and Rice University   
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       February 29, 1992   
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    Purpose   
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    =======   
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       CLATM2 returns the (I,J) entry of a random matrix of dimension   
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       (M, N) described by the other paramters. It is called by the   
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       CLATMR routine in order to build random test matrices. No error   
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       checking on parameters is done, because this routine is called in 
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       a tight loop by CLATMR which has already checked the parameters.   
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       Use of CLATM2 differs from CLATM3 in the order in which the random 
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       number generator is called to fill in random matrix entries.   
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       With CLATM2, the generator is called to fill in the pivoted matrix 
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       columnwise. With CLATM3, the generator is called to fill in the   
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       matrix columnwise, after which it is pivoted. Thus, CLATM3 can   
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       be used to construct random matrices which differ only in their   
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       order of rows and/or columns. CLATM2 is used to construct band   
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       matrices while avoiding calling the random number generator for   
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       entries outside the band (and therefore generating random numbers 
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       The matrix whose (I,J) entry is returned is constructed as   
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       follows (this routine only computes one entry):   
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         If I is outside (1..M) or J is outside (1..N), return zero   
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            (this is convenient for generating matrices in band format). 
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         Generate a matrix A with random entries of distribution IDIST.   
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         Set the diagonal to D.   
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         Grade the matrix, if desired, from the left (by DL) and/or   
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            from the right (by DR or DL) as specified by IGRADE.   
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         Permute, if desired, the rows and/or columns as specified by   
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            IPVTNG and IWORK.   
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         Band the matrix to have lower bandwidth KL and upper   
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            bandwidth KU.   
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         Set random entries to zero as specified by SPARSE.   
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    Arguments   
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    =========   
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    M      - INTEGER   
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             Number of rows of matrix. Not modified.   
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    N      - INTEGER   
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             Number of columns of matrix. Not modified.   
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    I      - INTEGER   
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             Row of entry to be returned. Not modified.   
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    J      - INTEGER   
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             Column of entry to be returned. Not modified.   
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    KL     - INTEGER   
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             Lower bandwidth. Not modified.   
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    KU     - INTEGER   
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             Upper bandwidth. Not modified.   
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    IDIST  - INTEGER   
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             On entry, IDIST specifies the type of distribution to be   
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             used to generate a random matrix .   
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             1 => real and imaginary parts each UNIFORM( 0, 1 )   
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             2 => real and imaginary parts each UNIFORM( -1, 1 )   
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             3 => real and imaginary parts each NORMAL( 0, 1 )   
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             4 => complex number uniform in DISK( 0 , 1 )   
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             Not modified.   
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    ISEED  - INTEGER            array of dimension ( 4 )   
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             Seed for random number generator.   
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             Changed on exit.   
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    D      - COMPLEX            array of dimension ( MIN( I , J ) )   
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             Diagonal entries of matrix. Not modified.   
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    IGRADE - INTEGER   
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             Specifies grading of matrix as follows:   
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             0  => no grading   
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             1  => matrix premultiplied by diag( DL )   
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             2  => matrix postmultiplied by diag( DR )   
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             3  => matrix premultiplied by diag( DL ) and   
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                           postmultiplied by diag( DR )   
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             4  => matrix premultiplied by diag( DL ) and   
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                           postmultiplied by inv( diag( DL ) )   
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             5  => matrix premultiplied by diag( DL ) and   
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                           postmultiplied by diag( CONJG(DL) )   
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             6  => matrix premultiplied by diag( DL ) and   
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                           postmultiplied by diag( DL )   
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             Not modified.   
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    DL     - COMPLEX            array ( I or J, as appropriate )   
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             Left scale factors for grading matrix.  Not modified.   
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    DR     - COMPLEX            array ( I or J, as appropriate )   
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             Right scale factors for grading matrix.  Not modified.   
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    IPVTNG - INTEGER   
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             On entry specifies pivoting permutations as follows:   
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             0 => none.   
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             1 => row pivoting.   
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             2 => column pivoting.   
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             3 => full pivoting, i.e., on both sides.   
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             Not modified.   
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    IWORK  - INTEGER            array ( I or J, as appropriate )   
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             This array specifies the permutation used. The   
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             row (or column) in position K was originally in   
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             position IWORK( K ).   
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             This differs from IWORK for CLATM3. Not modified.   
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    SPARSE - REAL               between 0. and 1.   
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             On entry specifies the sparsity of the matrix   
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             if sparse matix is to be generated.   
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             SPARSE should lie between 0 and 1.   
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             A uniform ( 0, 1 ) random number x is generated and   
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             compared to SPARSE; if x is larger the matrix entry   
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             is unchanged and if x is smaller the entry is set   
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             to zero. Thus on the average a fraction SPARSE of the   
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             entries will be set to zero.   
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             Not modified.   
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    ===================================================================== 
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   -----------------------------------------------------------------------
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       Check for I and J in range   
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       Parameter adjustments */
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    --iwork;
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    --dr;
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    --dl;
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    --d;
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    --iseed;
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    /* Function Body */
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    if (*i < 1 || *i > *m || *j < 1 || *j > *n) {
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	 ret_val->r = 0.f,  ret_val->i = 0.f;
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	return ;
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    }
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/*     Check for banding */
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    if (*j > *i + *ku || *j < *i - *kl) {
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	 ret_val->r = 0.f,  ret_val->i = 0.f;
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	return ;
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    }
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/*     Check for sparsity */
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    if (*sparse > 0.f) {
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	if (slaran_(&iseed[1]) < *sparse) {
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	     ret_val->r = 0.f,  ret_val->i = 0.f;
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	    return ;
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	}
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    }
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/*     Compute subscripts depending on IPVTNG */
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    if (*ipvtng == 0) {
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	isub = *i;
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	jsub = *j;
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    } else if (*ipvtng == 1) {
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	isub = iwork[*i];
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	jsub = *j;
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    } else if (*ipvtng == 2) {
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	isub = *i;
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	jsub = iwork[*j];
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    } else if (*ipvtng == 3) {
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	isub = iwork[*i];
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	jsub = iwork[*j];
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    }
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/*     Compute entry and grade it according to IGRADE */
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    if (isub == jsub) {
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	i__1 = isub;
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	ctemp.r = d[i__1].r, ctemp.i = d[i__1].i;
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    } else {
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	clarnd_(&q__1, idist, &iseed[1]);
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	ctemp.r = q__1.r, ctemp.i = q__1.i;
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    }
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    if (*igrade == 1) {
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	i__1 = isub;
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	q__1.r = ctemp.r * dl[i__1].r - ctemp.i * dl[i__1].i, q__1.i = 
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		ctemp.r * dl[i__1].i + ctemp.i * dl[i__1].r;
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	ctemp.r = q__1.r, ctemp.i = q__1.i;
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    } else if (*igrade == 2) {
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	i__1 = jsub;
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	q__1.r = ctemp.r * dr[i__1].r - ctemp.i * dr[i__1].i, q__1.i = 
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		ctemp.r * dr[i__1].i + ctemp.i * dr[i__1].r;
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	ctemp.r = q__1.r, ctemp.i = q__1.i;
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    } else if (*igrade == 3) {
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	i__1 = isub;
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	q__2.r = ctemp.r * dl[i__1].r - ctemp.i * dl[i__1].i, q__2.i = 
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		ctemp.r * dl[i__1].i + ctemp.i * dl[i__1].r;
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	i__2 = jsub;
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	q__1.r = q__2.r * dr[i__2].r - q__2.i * dr[i__2].i, q__1.i = q__2.r * 
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		dr[i__2].i + q__2.i * dr[i__2].r;
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	ctemp.r = q__1.r, ctemp.i = q__1.i;
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    } else if (*igrade == 4 && isub != jsub) {
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	i__1 = isub;
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	q__2.r = ctemp.r * dl[i__1].r - ctemp.i * dl[i__1].i, q__2.i = 
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		ctemp.r * dl[i__1].i + ctemp.i * dl[i__1].r;
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	c_div(&q__1, &q__2, &dl[jsub]);
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	ctemp.r = q__1.r, ctemp.i = q__1.i;
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    } else if (*igrade == 5) {
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	i__1 = isub;
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	q__2.r = ctemp.r * dl[i__1].r - ctemp.i * dl[i__1].i, q__2.i = 
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		ctemp.r * dl[i__1].i + ctemp.i * dl[i__1].r;
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	r_cnjg(&q__3, &dl[jsub]);
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	q__1.r = q__2.r * q__3.r - q__2.i * q__3.i, q__1.i = q__2.r * q__3.i 
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		+ q__2.i * q__3.r;
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	ctemp.r = q__1.r, ctemp.i = q__1.i;
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    } else if (*igrade == 6) {
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	i__1 = isub;
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	q__2.r = ctemp.r * dl[i__1].r - ctemp.i * dl[i__1].i, q__2.i = 
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		ctemp.r * dl[i__1].i + ctemp.i * dl[i__1].r;
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	i__2 = jsub;
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	q__1.r = q__2.r * dl[i__2].r - q__2.i * dl[i__2].i, q__1.i = q__2.r * 
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		dl[i__2].i + q__2.i * dl[i__2].r;
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	ctemp.r = q__1.r, ctemp.i = q__1.i;
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    }
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     ret_val->r = ctemp.r,  ret_val->i = ctemp.i;
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    return ;
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/*     End of CLATM2 */
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} /* clatm2_ */
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